Financial Modeling Prep connector for the parsimony framework
Project description
parsimony-fmp
Financial Modeling Prep source for parsimony: discovery, quotes, fundamentals, events, signals, and a global equity screener.
Part of the parsimony-connectors monorepo. Distributed standalone on PyPI as parsimony-fmp.
Connectors
| Group | Connectors |
|---|---|
| Discovery | fmp_search, fmp_taxonomy |
| Core market data | fmp_quotes, fmp_prices |
| Fundamentals | fmp_company_profile, fmp_peers, fmp_income_statements, fmp_balance_sheet_statements, fmp_cash_flow_statements |
| Events and catalysts | fmp_corporate_history, fmp_event_calendar, fmp_analyst_estimates |
| Signals and context | fmp_news, fmp_insider_trades, fmp_institutional_positions, fmp_earnings_transcript |
| Market context | fmp_index_constituents, fmp_market_movers |
| Screener | fmp_screener |
19 connectors total. Tier coverage is annotated per-connector in the docstrings ([All plans], [Starter+], [Professional+]); the demo plan returns AAPL/TSLA/MSFT only for symbol-bound endpoints.
Install
pip install parsimony-fmp
Pulls in parsimony-core>=0.4,<0.5 automatically. Verify discovery:
python -c "from parsimony import discover; print([p.name for p in discover.iter_providers()])"
Configuration
export FMP_API_KEY="<your-key>"
Get a key at https://financialmodelingprep.com.
Quick start
import asyncio
from parsimony_fmp import CONNECTORS
async def main():
connectors = CONNECTORS.bind_env()
result = await connectors["fmp_quotes"](symbols="AAPL,TSLA,MSFT")
print(result.data.head())
asyncio.run(main())
For multi-plugin composition:
from parsimony import discover
connectors = discover.load_all().bind_env()
Provider
- Homepage: https://financialmodelingprep.com
- API docs: https://site.financialmodelingprep.com/developer/docs
License
See LICENSE.
Project details
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